Decision Scientist III - Quality and Patient Safety initiative
Tasks
- Apply offline reinforcement learning and policy evaluation
- Build sequential state space models
- Conduct causal estimation and process measure integration
- Define thresholds safeguards monitoring and failure points
- Develop and evaluate multi objective optimization
- Document reusable methods assumptions and implementation lessons
- Evaluate data readiness for policy comparison
- Frame clinical and operational questions as decision problems
- Model system dynamics over time
- Produce reports presentations documentation and visuals
- Prototype analyses with Python and SQL
- Test recommendations under assumptions and constraints
Perks/Benefits
- Disability insurance
- Leadership development programs
- Life insurance
- LinkedIn Learning
- Medical/Dental/Vision insurance
- Paid time off
- Professional development opportunities
- Public service loan forgiveness
- Retirement plans
- Tuition assistance
Skills/Tech-stack
Bayesian optimization | Causal Inference | Code review | Constrained optimization | Contextual Bandits | Dask | Decision Making | Documentation | Dynamic Programming | EHR data | GPU Computing | High Performance | High-Performance Computing | Multi-Objective Optimization | Objective optimization | Off Policy | Off-policy evaluation | Offline Reinforcement Learning | Operations Research | Pareto Front | Performance Computing | Policy Evaluation | Process mining | Python | Reinforcement Learning | Relational databases | SQL | Sequential decision making | Series data | Simulation | Slurm | State Space Models | State-Space | Testing | Time Series | Time Series Data | Version control
Education
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